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Abstract
e14114 Background: Watson for Oncology (WfO) is an artificial intelligence-based clinical decision-support system which provides therapeutic options and associated scientific evidence to cancer-treating physicians. Oncologists at Bumrungrad International Hospital (BIH) have used WfO since 2015. We examined the association between concordance of WfO therapeutic options and BIH treatment decisions with short-term clinical outcomes for lung cancer patients. Methods: This study included lung cancer patients seen at BIH for treatment and follow-up care and for whom WfO was used from 2015 to 2018. Charts were reviewed for concordance with WfO, documentation of disease progression, response to treatment, and survival. We evaluated concordance between oncologists’ treatments and therapeutic options listed as “recommended” by WfO. We evaluated association between WfO concordance and partial or complete response rates over a 24-month period by comparison of proportions with odds ratio. Progression-free survival (PFS, time from diagnosis until progression or death) was evaluated by Kaplan-Meier log-rank test. Results: Seventy-nine lung cancer patients were included. We identified a trend towards higher response rates in concordant cases (59.2%, N = 32), as compared to discordant (48.0%, N = 12), with an odds ratio of 1.56 (see table). There was not a significant difference in PFS between concordant and discordant cohorts. Conclusions: In this small-cohort, retrospective study, lung cancer patients receiving treatments that are concordant with WfO recommended therapeutic options trended towards higher response rates than patients with discordant treatments. Use of a clinical decision-support system may help support cancer-treating physicians in delivering best practice and evidence-based care that may improve short-term outcomes. Prospective studies with larger samples and other cancer types are underway. [Table: see text]
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